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Apache HBase is an open-source, column-oriented, distributed database designed to store and manage massive amounts of unstructured data. Built on top of Apache Hadoop, it is an integral part of the Hadoop ecosystem and a go-to solution for big data applications.
Apache HBase comes packed with some great features:
Apache HBase is based on Google's Bigtable paper and is written in Java. It is built on top of Hadoop Distributed File System (HDFS) and is designed to work on commodity hardware. At its core are region servers that manage data partitions for a table. Clients interact with HBase through the HBase API, which is similar to the Google Bigtable API. Data is stored in a distributed and sorted manner, allowing efficient access during query processing.
Apache HBase is widely used in big data solutions, including:
Apache HBase is a powerful and reliable NoSQL database that is perfect for big data use cases. Its scalability, distributed architecture, and ACID Transactions support makes it an ideal choice for storing and managing massive amounts of unstructured data. If you want to take your big data solution to the next level, Apache HBase is definitely worth exploring.
Dremio, an open-source data lake engine, supports querying data in Apache HBase and other Hadoop ecosystem components, allowing users to unify their data and extract insights from a single source. By adding Dremio to your Apache HBase environment, you can speed up queries and enhance data discoverability even further.